cliburn / Computational-statistics-with-PythonLinks
Resources for STA 633 class
☆172Updated 8 years ago
Alternatives and similar repositories for Computational-statistics-with-Python
Users that are interested in Computational-statistics-with-Python are comparing it to the libraries listed below
Sorting:
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆377Updated 10 years ago
- ☆74Updated 6 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆357Updated 5 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆107Updated 8 years ago
- Bayesian Analysis with Python by Packt☆221Updated 2 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆321Updated 6 years ago
- Python Data Visualization Cookbook resources☆33Updated 12 years ago
- ☆177Updated last year
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆550Updated 3 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆283Updated 9 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆226Updated 4 years ago
- SciPy 2017 Pandas Tutorial☆161Updated 5 years ago
- Notebooks, worksheets and homework for STA 663 class☆43Updated 8 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆793Updated 3 years ago
- Tutorial on "Modern Optimization Methods in Python"☆251Updated 10 months ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆313Updated 4 years ago
- Machine Learning Tutorial in IPython Notebooks☆133Updated 3 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆182Updated 8 years ago
- Tutorial Created for SciPy 2012☆58Updated 12 years ago
- Learning Data Science, a textbook.☆266Updated 6 months ago
- The compiled, clean (not run) Jupyter notebooks for Elegant SciPy☆112Updated 5 years ago
- Python for Data Science (Seminar Course at UC Berkeley; AY 250)☆332Updated 3 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 6 years ago